【NVIDIA英伟达】并行计算岗位汇总-2016年

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NV IS Hiring！

计算正在从 CPU「中央处理」向 CPU 与 GPU「协同处理」的方向发展。 为了实现这一新型计算模式，NVIDIA 发明了 CUDA 并行计算架构。该架构通过利用 GPU 的处理能力，可大幅提升计算性能。

目前为止基于 CUDA 的 GPU 销量已达数以百万计，软件开发商、科学家以及研究人员正在各个领域中运用 CUDA，其中包括图像与视频处理、计算生物学和化学、流体力学模拟、CT 图像再现、地震分析以及光线追踪等等。

我们目前在上海/北京招聘 并行计算工程师   - 专注于CUDA Application；欢迎有相关工作经验或者 2016年应届毕业生投递;

1.        Parallel Software Engineer-Beijing
2.        CUDA Library Engineer-Shanghai

有意向的朋友 欢迎发送简历到  tracyw@nvidia.com  QQ：1751315121

1.Parallel Computing Software Engineer-Beijing
Description/Qualifications:
To spearhead its breakthroughs in High Performance Computing, NVIDIA is looking for a passionate, world-class Software Engineer to work in its Developer Technology Team. In this role, you will open up new domains of application for GPUs by researching and developing GPU computing algorithms, driving their adoption with key application developers and ensuring best possible performance of GPU computing applications on current and next-generation architectures.
Application domains include geosciences, life sciences, computer-aided engineering, computational fluid dynamics, computational chemistry, computational physics, computational finance, electronic design automation, data mining, medical imaging, and many more.
RESPONSIBILITIES:
- Work directly with key US developers on their scientific applications, educating them on the latest NVIDIA technologies.
- Closely collaborate with the architecture and software teams at NVIDIA to influence the design of next-generation architectures.
- Some travel to conferences and for on-site visits with developers will be required.
MINIMUM REQUIREMENTS:
- A good degree from a leading university in an engineering or computer science related discipline.
- Strong knowledge of programming languages such as Fortran and C/C++.
- Strong knowledge of programming techniques and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Experience with parallel programming, especially data-parallel using MPI, OpenMP, OpenACC or CUDA C/C++/Fortran.
- Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills.

2.CUDA Library Engineer-Shanghai
NVIDIA is searching for world-class software talent for an exciting role on our CUDA high-performance and scientific computing software team. The successful candidate will work with the most advanced parallel computing technology, and help improve the performance and developer experience as well as determine trends and features for next-generation architectures. You will interact closely with the architecture and other software teams at NVIDIA to ensure the best possible performance and results.

REQUIREMENTS:
- Excellent knowledge of C/C++ and programming techniques
- Strong mathematical fundamentals, ideally numerical methods, linear algebra, and FFT algorithms
- B.S. or higher degree in Computer Science/Engineering or mathematical field
- A strong team player that is self-motivated
- Great communication skills
- Good written and spoken English skills
Plusses:
- Knowledge of computer system architectures
- Experience with parallel programming, ideally CUDA C/C++ or OpenCL
- Experience with performance projections and tuning
- Experience in benchmarking



Best Regards
Tracy
QQ: 1751315121
Mail: tracyw@nvidia.com
Phone: 021-61043650

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顶  欢迎大家咨询！！！！！！

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上海北京 都有，

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欢迎大家投递

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欢迎咨询！！

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可以考虑应届毕业生 有相关的工作经验

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顶！！！！